Djordje Miladinovic
Djordje Miladinovic
Other namesĐorđe Miladinović
Verified email at - Homepage
Cited by
Cited by
Robustly disentangled causal mechanisms: Validating deep representations for interventional robustness
R Suter, D Miladinovic, B Schölkopf, S Bauer
International Conference on Machine Learning (ICML), 2019
On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset
MW Gondal, M Wüthrich, Đ Miladinović, F Locatello, M Breidt, V Volchkov, ...
Advances in Neural Information Processing Systems (NeurIPS), 2019
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
Đ Miladinović, C Muheim, S Bauer, A Spinnler, D Noain, M Bandarabadi, ...
PLoS computational biology, 2019
Granger-causal attentive mixtures of experts: Learning important features with neural networks
P Schwab, D Miladinovic, W Karlen
AAAI Conference on Artificial Intelligence, 2019
Rapid and reversible control of human metabolism by individual sleep states
N Nowak, T Gaisl, D Miladinovic, R Marcinkevics, M Osswald, S Bauer, ...
Cell Reports, 2021
Disentangled state space representations
Đ Miladinović, MW Gondal, B Schölkopf, JM Buhmann, S Bauer
Advances in Neural Information Processing Systems (NeurIPS), 2019
Interventional robustness of deep latent variable models
R Suter, D Miladinovic, S Bauer, B Schölkopf
arXiv, 1811.00007, 2018
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Đ Miladinović, A Stanić, S Bauer, J Schmidhuber, JM Buhmann
International Conference on Learning Representations (ICLR), 2021
Efficient and flexible inference for stochastic systems
S Bauer, NS Gorbach, Ð Miladinović, JM Buhmann
Advances in Neural Information Processing Systems (NeurIPS), 2017
Disentangled state space models: Unsupervised learning of dynamics across heterogeneous environments
Ð Miladinović, W Gondal, B Schölkopf, JM Buhmann, S Bauer
DeepGen Workshop (ICLR), 2019
Natural age-related slow-wave sleep alterations onset prematurely in the Tg2576 mouse model of Alzheimer’s disease
S Kollarik, I Dias, CG Moreira, D Bimbiryte, D Miladinovic, JM Buhmann, ...
Neurodegenerative Diseases, 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Đ Miladinović, K Shridhar, K Jain, MB Paulus, JM Buhmann, C Allen
Advances in Neural Information Processing Systems (NeurIPS), 2022
Holistic Modeling in Medical Image Segmentation Using Spatial Recurrence
JBS Carvalho, J Santinha, Đ Miladinović, C Cotrini, JM Buhmann
Medical Imaging with Deep Learning (MIDL), 2021
On Training Deep Generative Models with Latent Variables
D Miladinovic
ETH Zurich, 2021
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